Use better open-source ai models.
Dear Proton Team,
I would like to propose integrating several high-quality open-source AI models into the Lumo platform. These models align with Proton’s core values of privacy, transparency, and user data sovereignty, while offering excellent performance and flexibility.
The recommended models include GPT-OSS 120B, LLaMA 3, DeepSeek-V3, Mistral 8x22B, and BLOOM. These models stand out because they are open source, enabling complete self-hosting and customization. This means Proton can maintain full control over user data, keeping all processing within secured European data centers, aligned with Proton’s zero-access policy and strong privacy commitments.
GPT-OSS 120B offers powerful capabilities close to proprietary large models but without API dependency and high ongoing costs. LLaMA 3 is dialog-optimized and supports long context windows, enhancing user interaction experience. DeepSeek-V3 presents a highly efficient mixture-of-experts architecture with exceptional scaling potential. Mistral 8x22B balances performance and resource demands, fitting well with Proton’s infrastructure. BLOOM provides multi-language support and responsible open-source licensing, broadening Lumo’s global reach.
By choosing these models, Proton can deliver a privacy-first, performant AI assistant that scales from edge devices to enterprise deployments, all under Proton’s full control. This approach boosts user trust, reduces dependency on third parties, and aligns with evolving global privacy regulations.
Thank you for considering this proposal.
Sam Irmscher
shared this idea
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Andrew Bell commented
Thanks for sharing this detailed proposal — the emphasis on privacy, transparency, and self-hosting aligns very well with building a trustworthy AI platform.
I do want to point out a practical consideration for anyone looking to explore or test alternative AI tools: some popular AI services recently have had sign-up and login reliability issues, especially during peak demand or unexpected outages. For example, this troubleshooting guide at https://deepseeksguides.com/deepseek-sign-up-failed/
explains common reasons why users might see “sign-up failed” errors when trying to register on an AI platform — including server overload, verification delays, and credential problems — and suggests steps to work around them.